Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping
Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping
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DOI：
10.1007/s00138-015-0727-5
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发表时间：
2016-07-01
影响因子：
3.3
通讯作者：
van de Zedde, Rick
中科院分区：
文献类型：
--
作者：
Golbach, Franck;Kootstra, Gert;van de Zedde, Rick
在植物表型鉴定中，需要高通量、非破坏性的系统，通过测量植物体积、叶面积和茎长度等特征，准确地分析各种植物性状。现有的基于视觉的系统要么使用2D成像关注速度，因此这是不准确的，要么使用耗时的3D方法关注精度。在本文中，我们提出了一个计算机视觉系统，它结合了两种方法的优点，利用快速三维(3D)重建方法进行苗木表型鉴定。我们开发了从3D植物模型中识别和分割植物器官(茎和叶)的图像处理方法。植物特征的各种测量，如植物体积、叶面积和茎长度，都是基于这些植物片段进行估计的。我们通过将我们的方法的测量结果与手工破坏性地获得的地面真实测量结果进行比较，来评估我们系统的准确性。结果表明，该系统具有很好的应用前景。
In plant phenotyping, there is a demand for high-throughput, non-destructive systems that can accurately analyse various plant traits by measuring features such as plant volume, leaf area, and stem length. Existing vision-based systems either focus on speed using 2D imaging, which is consequently inaccurate, or on accuracy using time-consuming 3D methods. In this paper, we present a computer-vision system for seedling phenotyping that combines best of both approaches by utilizing a fast three-dimensional (3D) reconstruction method. We developed image processing methods for the identification and segmentation of plant organs (stem and leaf) from the 3D plant model. Various measurements of plant features such as plant volume, leaf area, and stem length are estimated based on these plant segments. We evaluate the accuracy of our system by comparing the measurements of our methods with ground truth measurements obtained destructively by hand. The results indicate that the proposed system is very promising.